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Integration of a Mesoscale Ensemble System into National Weather Service Hydro-Meteorological Operations. Operational Aspects of the COMET Collaborative Project. Participants. Stony Brook University: Brian Colle, Mike Erickson NWS New York City:
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Integration of a Mesoscale Ensemble System into National Weather Service Hydro-Meteorological Operations Operational Aspects of the COMET Collaborative Project
Participants • Stony Brook University: • Brian Colle, Mike Erickson • NWS New York City: • Jeff Tongue, Nancy Furbush, Matt Sardi, Nelson Vaz, Adrienne Leptich • NWS Philadelphia/Mount Holly: • Al Cope • NWS Eastern Region Headquarters • Josh Watson • NWS MARFC: • Joe Ostrowski
Objective Integrate data from the Stony Brook University Mesoscale Ensemble System (MES) • Into AWIPS. • Into the Site Specific Hydrologic Predictor (SSHP) application.
Why ? • Allow forecasters to perform mesoscale stochastic hydrology on small, fast responding basins.
How?? • Provide WFO Forecasters with Mesoscale Ensemble Data to assimilate via AWIPS D2D (GFE) and the Web. • Provide WFO Forecasters with Mesoscale Ensemble Data to integrate into the Site Specific Hydrologic Predictor.
Data • Web • AWIPS • GFE
AWIPS • 00Z 12/36 km 14 Member Ensemble data • Available ~11 UTC • 36 Hour Forecast • Volume Browser: • Members • Means/Standard Deviation • Probability of Exceedence
AWIPS - Concerns • Installation Instructions are Available. • Still needs some “clean-up.” • New “build” issues. • Stony Brook is not an Operational Center.
SSHP Integrating Stony Brook ESP into SSHP Deterministically: From the AWIPS GFE Stochastically: From the Stony Brook EPS
Convert 6 hour NDFD QPF to RR2 text product for use with SSHP Note that GFE 6-hr Pcpn is evenly distributed
In SSHP Basins: • Lodi - Saddle R. • Gardiner – Wallkill R. • HoHoKus – Hohokus Brook • Springfield – Rahway R. • Beacon Falls – Naugatuck R. • Southbury – Pomperaug R. • Yantic – Yantic R.
2. EPS into SSHP (under development) • Experimenting with the Lodi Basin. • Stony Brook University is producing hourly resolution basin averaged precipitation. • RR2 Product (ftp’ed): • Mean • Worst Case scenario • Individual member data
Ensemble mean accumulated 1 hr forecast for hour 32 Ensemble mean for the Lodi Basin
GFE QPF SBU Ensemble Members Mean Average Worst case
Future Work • Automate the FTP of Data • Train Staff • Modify SSHP with help of OH to display ensemble hydrographs